Triple
T19391566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostalbkreis |
E485080
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Abtsgmünd
Abtsgmünd is a municipality in the German state of Baden-Württemberg, situated in a rural area known for its scenic landscapes and small-town character.
|
E1390631
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Abtsgmünd | Statement: [Ostalbkreis, containsMunicipality, Abtsgmünd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abtsgmünd Context triple: [Ostalbkreis, containsMunicipality, Abtsgmünd]
-
A.
Gärtringen
Gärtringen is a municipality in the German state of Baden-Württemberg, located southwest of Stuttgart.
-
B.
Borgholzhausen
Borgholzhausen is a small town in North Rhine-Westphalia, Germany, known for its location on the Teutoburg Forest and its historical ties to the former County of Ravensberg.
-
C.
Vaihingen
Vaihingen is a district in the southwest of Stuttgart, Germany, known for its mix of residential areas, business parks, and proximity to major transport links.
-
D.
Gerlachsheim
Gerlachsheim is a district of the town Lauda-Königshofen in the Main-Tauber-Kreis region of Baden-Württemberg, Germany.
-
E.
Ludwigsstadt
Ludwigsstadt is a small town in northern Bavaria, Germany, known for its location in the Franconian Forest near the Thuringian border.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Abtsgmünd Triple: [Ostalbkreis, containsMunicipality, Abtsgmünd]
Generated description
Abtsgmünd is a municipality in the German state of Baden-Württemberg, situated in a rural area known for its scenic landscapes and small-town character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abtsgmünd Target entity description: Abtsgmünd is a municipality in the German state of Baden-Württemberg, situated in a rural area known for its scenic landscapes and small-town character.
-
A.
Gärtringen
Gärtringen is a municipality in the German state of Baden-Württemberg, located southwest of Stuttgart.
-
B.
Borgholzhausen
Borgholzhausen is a small town in North Rhine-Westphalia, Germany, known for its location on the Teutoburg Forest and its historical ties to the former County of Ravensberg.
-
C.
Vaihingen
Vaihingen is a district in the southwest of Stuttgart, Germany, known for its mix of residential areas, business parks, and proximity to major transport links.
-
D.
Gerlachsheim
Gerlachsheim is a district of the town Lauda-Königshofen in the Main-Tauber-Kreis region of Baden-Württemberg, Germany.
-
E.
Ludwigsstadt
Ludwigsstadt is a small town in northern Bavaria, Germany, known for its location in the Franconian Forest near the Thuringian border.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b45caec81909dafdf66b361effd |
completed | April 20, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ab7e0d4081909296ab9498e7996f |
completed | May 15, 2026, 11:25 p.m. |
| NEDg | Description generation | batch_6a07acb892408190bd5e927cad3343ec |
completed | May 15, 2026, 11:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ad2377488190b4f52c72a9a5d196 |
completed | May 15, 2026, 11:32 p.m. |
Created at: April 10, 2026, 1:36 p.m.